Apply pyupgrade fixes missing from ruff

pytensor/compile/profiling.py

@@ -1084,8 +1084,8 @@ def min_memory_generator(executable_nodes, viewed_by, view_of):
                     viewof_change = []
                     # Use to track view_of changes
 
-                    viewedby_add = defaultdict(lambda: [])
-                    viewedby_remove = defaultdict(lambda: [])
+                    viewedby_add = defaultdict(list)
+                    viewedby_remove = defaultdict(list)
                     # Use to track viewed_by changes
 
                     for var in node.outputs:

pytensor/graph/rewriting/basic.py

@@ -950,8 +950,8 @@ class MetaNodeRewriter(NodeRewriter):
 
     def __init__(self):
         self.verbose = config.metaopt__verbose
-        self.track_dict = defaultdict(lambda: [])
-        self.tag_dict = defaultdict(lambda: [])
+        self.track_dict = defaultdict(list)
+        self.tag_dict = defaultdict(list)
         self._tracks = []
         self.rewriters = []
 

pytensor/link/utils.py

@@ -818,7 +818,7 @@ def get_destroy_dependencies(fgraph: FunctionGraph) -> dict[Apply, list[Variable
     in destroy_dependencies.
     """
     order = fgraph.orderings()
-    destroy_dependencies = defaultdict(lambda: [])
+    destroy_dependencies = defaultdict(list)
     for node in fgraph.apply_nodes:
         for prereq in order.get(node, []):
             destroy_dependencies[node].extend(prereq.outputs)

pytensor/tensor/rewriting/elemwise.py

@@ -126,7 +126,7 @@ def apply(self, fgraph):
             "nb_call_replace": 0,
             "nb_call_validate": 0,
             "nb_inconsistent": 0,
-            "ndim": defaultdict(lambda: 0),
+            "ndim": defaultdict(int),
         }
 
         check_each_change = config.tensor__insert_inplace_optimizer_validate_nb